Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA.
Life Sciences Division, E.O. Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA.
Biomolecules. 2013 Feb 11;3(1):180-97. doi: 10.3390/biom3010180.
Many human tumors show significant changes in their signal transduction pathways and, thus, the way the cells interact with their environment. Often caused by chromosomal rearrangements, including gene amplifications, translocations or deletions, the altered levels of gene expression may provide a tumor-specific signature that can be exploited for diagnostic or therapeutic purposes. We investigated the utility of multiplexed fluorescence in situ hybridization (FISH) using non-isotopically labeled cDNA probes detected by Spectral Imaging as a sensitive and rapid procedure to measure tumor-specific gene expression signatures. We used a commercially available system to acquire and analyze multicolor FISH images. Initial investigations used panels of fluorescent calibration standards to evaluate the system. These experiments were followed by hybridization of five-to-six differently labeled cDNA probes, which target the transcripts of tyrosine kinase genes known to be differently expressed in normal cells and tumors of the breast or thyroid gland. The relatively simple, yet efficient, molecular cytogenetic method presented here may find many applications in characterization of solid tumors or disseminated tumor cells. Addressing tumor heterogeneity by means of multi-parameter single cell analyses is expected to enable a wide range of investigations in the areas of tumor stem cells, tumor clonality and disease progression.
许多人类肿瘤在信号转导途径上显示出显著的变化,因此细胞与环境相互作用的方式也发生了变化。这些变化通常是由染色体重排引起的,包括基因扩增、易位或缺失,改变的基因表达水平可能提供肿瘤特异性的特征,可以用于诊断或治疗目的。我们研究了使用非同位素标记的 cDNA 探针通过光谱成像进行多重荧光原位杂交 (FISH) 的效用,作为一种灵敏和快速的方法来测量肿瘤特异性基因表达特征。我们使用商业上可获得的系统来获取和分析多色 FISH 图像。最初的研究使用荧光校准标准品的面板来评估该系统。这些实验之后是用五到六个不同标记的 cDNA 探针进行杂交,这些探针靶向酪氨酸激酶基因的转录物,这些基因在正常细胞和乳腺或甲状腺肿瘤中表达不同。这里提出的相对简单但高效的分子细胞遗传学方法可能会在固体肿瘤或播散性肿瘤细胞的特征描述中找到许多应用。通过多参数单细胞分析来解决肿瘤异质性,有望在肿瘤干细胞、肿瘤克隆性和疾病进展等领域进行广泛的研究。